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Make more money with GEO(Generative Engine Optimization)
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Make more money with GEO(Generative Engine Optimization)
1 follower
We get your brand cited and recommended in ChatGPT, Claude, Perplexity, Gemini, and Copilot, and fix what they get wrong. Our GEO agent catches outdated pricing, wrong features, and bad positioning, traces each claim to its source, then corrects your site, listings, and profiles, pitches publishers, and publishes quotable, answer-first facts with structured data. It also samples prompts repeatedly, benchmarks competitors, audits crawler access, builds reviews, and tracks AI-sourced leads.
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Hi Product Hunt!
Today we're launching our GEO agent, and I'm nervous and excited to share it with you.
THE MOMENT THAT STARTED THIS
We asked ChatGPT to recommend products in our own category. We weren't in the answer. A competitor was, with details that were two years out of date. Then we tried Claude, Perplexity, Gemini, and Copilot, and got four more versions of the story. That's when it clicked: people now ask AI for the shortlist, and most brands have no idea what it says about them.
WHAT OUR GEO AGENT DOES
It gets your brand referenced, recommended, and cited in ChatGPT, Claude, Perplexity, Gemini, and Copilot. The part we care about most is that it fixes what engines say, not just reports on it.
You can't edit an AI answer directly, so the agent works on the sources behind it:
1. Catches the error. Wrong pricing, services, hours, or features, outdated plans, bad positioning, or no mention at all.
2. Traces it to the source. It finds the page, listing, review, or thread the claim came from.
3. Fixes it there. It corrects your site, listings, and profiles, and pitches publishers and review sites for updates.
4. Makes the right answer easy to quote. It publishes answer-first pages with structured data and consistent facts about you.
5. Verifies it stuck. It retests weekly, so you see whether the error is gone.
A HYPOTHETICAL EXAMPLE
Say an engine tells people your product costs $99/month, but you changed pricing last year. The agent finds that the claim comes from an old comparison blog and a stale marketplace listing, updates the listing, requests a correction from the blog, and publishes a clear pricing page. Next week's retest shows whether the answer changed.
EVERYTHING AROUND THAT CORE
🔁 Repeated sampling: AI answers vary run to run, so we run each prompt multiple times and report ranges, not one lucky screenshot.
🥊 Competitor benchmarking: see who's named instead of you, and why.
🚨 Model-update alerts: know when a mention drop is a real regression, not noise.
🤖 Crawler audit: check that AI crawlers can actually reach your content.
⭐ Review building: grow your presence on the sites engines weigh heavily.
📈 AI lead attribution: tie leads back to AI recommendations.
WHO IT'S FOR
Everyone. If people ask AI "what's the best X?" before they find you, this is for you:
🚀 Startups and solo founders who want to be on the shortlist from day one
🏢 Established brands whose reputation is being summarized by AI, accurately or not
🛍️ Online stores and consumer brands, where shoppers ask AI for the best product in a price range
🍽️ Local and service businesses, like restaurants, clinics, agencies, and contractors, that people ask AI to recommend
✍️ Creators, consultants, and freelancers who want to be named as the expert
🏛️ Nonprofits, schools, and organizations that need their facts represented correctly
Whatever you sell, the question is the same: when someone asks AI about your category, what does it say about you?
I'D LOVE YOUR INPUT
- What does your category look like in AI answers today?
- What would you want a GEO agent to fix first?
- Any engine we should track that we've missed?
I'll be in the comments all day. Roast us, ask us anything, or tell us what you'd build next.
Thank you for checking us out! 🙏